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Providing Web-based Support for Families of Infants and Young Children With Established Disabilities

2007· article· en· W2316493864 on OpenAlexaff
Anat Zaidman‐Zait, Janet R. Jamieson

Bibliographic record

VenueInfants & Young Children · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThe InternetPsychologyCoping (psychology)Intervention (counseling)Developmental psychologyEmotional supportFace (sociological concept)Medical educationSocial supportClinical psychologyMedicineSocial psychologyPsychiatryWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Infants and young children with established disabilities have significant problems across various domains of development. As a consequence, their parents may face various challenges and difficulties in parenting (M. J. Guralnick, 2004). During the years of infancy (or from the time of diagnosis) and throughout early childhood, parents often have continuing needs to obtain information, identify services for their child, and receive emotional support related to issues with which they are coping. Recently, the Web has become a major source for obtaining information and support, and it has been suggested that the Internet may be utilized to provide information and support to families as a valuable and convenient supplement to face-to-face service provision. This article discusses the advantages and disadvantages of Internet use for parents of children with disabilities, the implications of parents' Internet use for early intervention professionals, and recommendations for professionals interested in developing Web sites to provide information and support to parents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.265
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations46
Published2007
Admission routes1
Has abstractyes

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